Description de la société
Amadeus est le leader mondial des solutions de traitement des réservations pour l'industrie du voyage. Les prestataires de voyage (compagnies traditionnelles et à bas prix, hôteliers, croisiéristes, compagnies ferroviaires, de ferry, de location de voitures et tour-opérateurs) et agences de voyages (en ligne et hors ligne) bénéficient de notre puissance de traitement des transactions et de nos solutions technologiques.
Description du poste

Business environment

The emergence of Big Data technologies is an opportunity to improve our existing products, and create a brand new generation of data driven applications. This is recognized in the company through the Travel 360 program that identified dozens of applications across the organisation that will implement these technologies.

The BIP (Business Intelligent Platform) department is playing a key role inside the company to provide reliable, secured and efficient data storage and data processing solutions. The group is responsible for :

– Big Data processing and analytics platform

– Reporting and Visualization solutions

– Machine Learning libraries

The BIP Department within Technology Platforms & Engineering Division is structured into two main areas: one dedicated to DevOPS activities (BOX), one dedicated to Development Experience activities (BDX).

Within this department (λbox Development eXperience) team is in charge of defining the Big Data Platform (internally named the λbox) focusing on facilitating development of analytic applications.

Purpose

This job position corresponds to the activities around the integration of Apache Kafka inside Amadeus. Apache Kafka is a scala based solution chosen to implement a high performance distributed message queue. Kafka's specificity is to move a significant part of the complexity of regular queuing systems to the consumers' implementation, providing a simple distributed log management, with a mechanism to store offsets and distribute consumers on the partitions. Kafka is part of broader ecosystem, which can be used in multiple usecases. Kafka's integration with Spark Apache project makes a very interesting technology for Big Data streaming usecases. Kafka's integration with the Reactive Streams frameworks (now part of the Java 9 spec) makes its very interesting for the development of Event Driven micro-services. Supported by Confluent, Kafka comes with an eco-system of libraries (K-Streams / K-SQL) to provide a higher level distributed computing framework on top of Kafka.

Key accountabilities

The candidate will be accountable for:

– Automation of the operations of the Apache Kafka clusters: Maintaining the current configuration management framework, and participate to the migration of the deployment to Amadeus' new standards (Ansible / OpenShift). Define and implement the monitoring framework and alerting rules. Create and maintain the tools to automate the functional setup of the cluster (lifetime and setup of cluster and topic configuration).

– Supporting the Kafka clusters: Participate to the oncall rota of the Kafka test and production infrastructure.

– Investigating Kafka limitations/problems: Jointly with our users, the candidate will investigate Kafka correctness/performance limitations and in case of confirmed problem, the candidate will open tickets and follow the resolution with the Kafka community.

– Contributing to the Apache Kafka project: To speed up the resolution of some key problems, the candidate will contribute reproducers, design solutions, code, documentation and test cases to the Kafka community.

Profil recherché :

Education

– Post-secondary degree in Computer Science or related technical field or equivalent experience

– English fluent.

Specific competencies

Technical Skills

– Experience with Configuration Management frameworks (Ansible).

– Experience with scripting programming languages (python).

– Experience with OpenShift or Kubernetes is a plus.

– Knowledge of Open Source development tooling (github, gradle) is a plus.

– Experience with Scala or Java or C++ programming is a plus.

– Experience working with Kafka is a plus.

– Experience working with the Open Source community is a plus.

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